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Automatic sunspots detection on SODISM solar images
Alasta, Amro F. ; Algamudi, Abdulrazag ; Qahwaji, Rami S.R. ; Ipson, Stanley S. ; Nagem, Tarek A.
Alasta, Amro F.
Algamudi, Abdulrazag
Qahwaji, Rami S.R.
Ipson, Stanley S.
Nagem, Tarek A.
Publication Date
2017
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openAccess
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Abstract
The surface of the sun often shows visible sunspots
which are located in magnetically active regions of the Sun,
and whose number is an indicator of the Sun’s magnetic
activity. The detection and classification of sunspots are useful
techniques in the monitoring and prediction of solar activity.
The automated detection of sunspots from digital images is
complicated by their irregularities in shape and variable
contrast and intensity compared with their surrounding area.
The main aim of this paper is to detect sunspots using images
from the Solar Diameter Imager and Surface Mapper
(SODISM) on the PICARD satellite and calculate their filling
factors. A comparison over time with sunspot numbers
obtained using images from the SOHO satellite is also
presented.
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Accepted manuscript
Citation
Alasta AF, Algamudi A, Qahwaji R, Ipson S and Nagem TA (2017) Automatic sunspots detection on SODISM solar images. 2017 Seventh International Conference on Innovative Computing Technology (INTECH) 16-18th Aug 2017, Luton UK. IEEE.
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Conference paper